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Abstract #1765

Comparing FreeSurfer with manual segmentation in the basal ganglia and thalamus of 7 year old children

Wai Yen Loh 1,2 , Zohra M Ahmadzai 2,3 , Lillian Gabra Fam 2,3 , Alan Connelly 1 , Alicia J Spittle 2,4 , Katherine J Lee 2,3 , Terrie E Inder 5 , Jeanie LY Cheong 2,4 , Lex W Doyle 2,4 , Peter J Anderson 2,3 , and Deanne K Thompson 1,2

1 The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia, 2 Murdoch Childrens Research Institute, Melbourne, VIC, Australia, 3 Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia, 4 Royal Women's Hospital, Melbourne, VIC, Australia, 5 Brigham and Women's Hospital, Boston, MA, United States

To validate FreeSurfers segmentation method of the basal ganglia and thalamus in a paediatric population, FreeSurfers semi-automated segmentations were compared with manual segmentations in a 7 year-old cohort comprised of healthy and preterm children. The intraclass correlation coefficient scores for consistency were well-above 0.7 for all structures except the nucleus accumbens and right caudate. Similarly, Bland-Altman plots indicated that there was a consistent bias between both methods. This study suggests that while FreeSurfer is useful in comparing basal ganglia and thalamus volume differences between groups, it may not be accurate in obtaining exact volumes for a paediatric population.

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